Audience

Anyone looking for an open-source deep learning framework with expression, speed and modularity

About Caffe

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Check out our web image classification demo! Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices. Extensible code fosters active development. In Caffe’s first year, it has been forked by over 1,000 developers and had many significant changes contributed back. Thanks to these contributors the framework tracks the state-of-the-art in both code and models. Speed makes Caffe perfect for research experiments and industry deployment. Caffe can process over 60M images per day with a single NVIDIA K40 GPU.

Pricing

Free Version:
Free Version available.

Integrations

API:
Yes, Caffe offers API access

Ratings/Reviews

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Company Information

BAIR
United States
caffe.berkeleyvision.org

Videos and Screen Captures

Caffe Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

Caffe Frequently Asked Questions

Q: What kinds of users and organization types does Caffe work with?
Caffe works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Caffe support in their product?
Caffe supports these languages: English.
Q: What kind of support options does Caffe offer?
Caffe offers support via online.
Q: What other applications or services does Caffe integrate with?
Caffe integrates with: AWS Elastic Fabric Adapter (EFA), AWS Marketplace, Amazon Web Services (AWS), Docker, Fabric for Deep Learning (FfDL), Lambda, NVIDIA DIGITS, OpenVINO, Polyaxon, Pop!_OS, and Zebra by Mipsology.
Q: Does Caffe have an API?
Yes, Caffe has an API.
Q: What type of training does Caffe provide?
Caffe provides training in the form of documentation.

Caffe Product Features

Deep Learning

Document Classification Supported
Visualization Supported
Convolutional Neural Networks Not Supported
Image Segmentation Not Supported
ML Algorithm Library Not Supported
Model Training Not Supported
Neural Network Modeling Not Supported
Self-Learning Not Supported